Product Detection Device Using Image Classification for Retail Automation
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Solution Overview
Problem
Current methods for product identification in shopping environments are time-consuming, labor-intensive, and lack intelligent automation for accurately prompting product types.
Innovation Solution
A detection method and device that utilize image processing, employing classifiers to identify product types from images and send relevant information, including confidence levels, subcategories, attributes, and expiration dates, to display devices, with features to handle multiple types and alert conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual product type input is used in weighing systems, then product identification can be performed, but the process becomes time-consuming and labor-intensive
Solution Approach 1:
The patent replaces the manual mechanical input system with an optical detection system using image capture devices and classification algorithms. The system captures images of products and automatically identifies product types through machine learning classifiers, eliminating the need for manual input and significantly reducing identification time.
Solution Approach 2:
The system enables products to be automatically identified through their visual characteristics without human intervention. The classification model autonomously processes product images and determines product types, allowing the system to serve itself in the product identification task.
2Measurement precision
If manual product type input is used, then product identification can be performed, but it is prone to mistakes and lacks accuracy
Solution Approach 1:
The system incorporates confidence level feedback from the classification model to verify identification results. When the confidence level exceeds a threshold, the identification is confirmed; otherwise, alternative approaches are taken. This feedback mechanism ensures high accuracy and reliability in product type identification.
3Loss of information
If comprehensive product information is provided, then identification completeness is improved, but system complexity increases
Solution Approach 1:
The patent segments the product information extraction process into distinct functional modules: image capture, classification, attribute extraction, and information output. Each module handles a specific aspect of product identification, making the complex system manageable and maintainable while providing comprehensive product information.
Data Source
AI summary
This invention provides a detection method and a device thereof which are applied to the field of image processing. The method includes: receiving an image of a target object, acquiring a type of the target object according to a first classifier and the image of the target object, and sending information containing the type of the target object to a display device. The method can automatically prompt a product type, thereby reducing the time of manual recognition and increasing the accuracy of the recognition.